Recovering 3D Indoor Floor Plans by Exploiting Low-cost Spherical Photography

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dc.contributor.authorPintore, Giovannien_US
dc.contributor.authorGanovelli, Fabioen_US
dc.contributor.authorPintus, Ruggeroen_US
dc.contributor.authorScopigno, Robertoen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.contributor.editorFu, Hongbo and Ghosh, Abhijeet and Kopf, Johannesen_US
dc.date.accessioned2018-10-07T14:32:07Z
dc.date.available2018-10-07T14:32:07Z
dc.date.issued2018
dc.description.abstractWe present a novel approach to automatically recover, from a small set of partially overlapping panoramic images, an indoor structure representation in terms of a 3D floor plan registered with a set of 3D environment maps. Our improvements over previous approaches include a new method for geometric context extraction based on a 3D facets representation, which combines color distribution analysis of individual images with sparse multi-view clues, as well as an efficient method to combine the facets from different point-of-view in the same world space, considering the reliability of the facets contribution. The resulting capture and reconstruction pipeline automatically generates 3D multi-room environments where most of the other previous approaches fail, such as in presence of hidden corners, large clutter and sloped ceilings, even without involving additional dense 3D data or tools. We demonstrate the effectiveness and performance of our approach on different real-world indoor scenes.en_US
dc.description.sectionheaders3D Modeling
dc.description.seriesinformationPacific Graphics Short Papers
dc.identifier.doi10.2312/pg.20181277
dc.identifier.isbn978-3-03868-073-4
dc.identifier.pages45-48
dc.identifier.urihttps://doi.org/10.2312/pg.20181277
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20181277
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectComputer graphics
dc.subjectComputational photography
dc.subjectShape inference
dc.subjectReconstruction
dc.titleRecovering 3D Indoor Floor Plans by Exploiting Low-cost Spherical Photographyen_US
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